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Weekly reads: Jan 12, 2026

4 reads selected from 4 stories across 2 sources published in this period.

We take turns across sources, starting with their most recent stories. This is a reading selection, not an importance ranking or an archive of the email newsletter.

Dates follow Korea Standard Time. Weekly selections cover Monday through Sunday.

Our editorial policy and selection method
  1. 01 / Sequoia Capital

    Blues, founded by Ray Ozzie, delivers affordable hardware and software to connect devices to the cloud, enabling smart applications across diverse industries.

    Blues, a company led by tech veteran Ray Ozzie, provides low-cost hardware like Notecard and software like Notehub for easy device-to-cloud connectivity. Customers across sectors such as healthcare and shipping praise its flexibility, affordability, and user-friendliness. Connectivity solutions are expanding to make everyday objects smarter.

    Why it matters

    Blues' approach could lower barriers to IoT adoption, allowing more businesses to innovate with connected devices and potentially boost efficiency in various fields. This reflects a growing trend toward widespread cloud integration, which may accelerate digital transformation. As costs drop, we could see even more industries embracing smart technology.

  2. 02 / Reddit r/startups

    r/startups opens Q4 2023 thread for founders to showcase startups, share goals, and connect with the community

    The r/startups community is inviting founders to post about their companies in its quarterly Share Your Startup thread for Q4 2023. Participants are asked to include their startup name, location, pitch, lifecycle stage, current goals, and any discounts for community members, while avoiding public fundraising solicitations.

    Why it matters

    The post reflects how online founder communities continue to function as lightweight discovery, feedback, and networking channels for early-stage companies. By standardizing submissions around lifecycle stage and monthly goals, the thread encourages more practical peer support and market validation rather than broad self-promotion.

  3. 03 / Sequoia Capital

    Sequoia Capital partners with Sandstone, an AI-native platform, to help in-house legal teams streamline operations through innovative technology and serendipitous connections

    Jarryd from Sequoia Capital met Nick Fleisher, a McKinsey alum with expertise in legal tech, through a professional introduction and was impressed by his vision. They decided to collaborate on Sandstone, an AI-native platform aimed at empowering overworked in-house legal teams to scale their operations efficiently. This partnership stems from Nick's background and a shared goal to leverage AI for better legal processes.

    Why it matters

    This deal highlights the growing significance of AI in legal tech, potentially transforming how in-house teams handle workloads and reduce inefficiencies. It could spark more investments in AI-driven solutions for professional services, reflecting a trend toward serendipitous partnerships in the startup ecosystem. As AI adoption accelerates, such collaborations may become key drivers of innovation in overlooked sectors.

  4. 04 / Sequoia Capital

    WithCoverage, founded by JD Ross and Max Brenner, uses AI to overhaul insurance for businesses, providing personalized risk audits and transparent fees to address high costs and inefficiencies.

    Traditional insurance brokers often overcharge businesses and fail to provide adequate coverage due to high commissions and manual processes. WithCoverage leverages AI to analyze policies and operations, offering line-by-line breakdowns of savings and risks. This approach replaces emails and PDFs with a digital platform, making insurance more accessible and efficient.

    Why it matters

    This innovation could disrupt the insurance industry by making personalized risk management available to all businesses, not just large ones. AI-driven solutions like WithCoverage's may lead to lower premiums and better protection, pushing traditional brokers to adopt technology. As AI advances, we might see a broader trend towards transparent and customer-focused insurance services.